1 question ONLY population proportion help please.
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OpenStudy (jessicawade):
Use a sample n = 840, p^ = 0.25, and a 90% confidence level to construct a confidence interval estimate of the population proportion, p.
A.
0.221 < p < 0.279
B.
0.214 < p < 0.286
C.
0.237 < p < 0.263
D.
0.225 < p < 0.275
OpenStudy (jessicawade):
i dont know how to find the answer and all i need is to figure this problem out
jimthompson5910 (jim_thompson5910):
one sec while I think it over
OpenStudy (jessicawade):
ive spent 2 hours on this lesson and this is the only one i cant figure out lol
jimthompson5910 (jim_thompson5910):
the formula is
\[\Large L = \hat{p} - Z*\sqrt{\frac{p(1-p)}{n}}\]
\[\Large U = \hat{p} + Z*\sqrt{\frac{p(1-p)}{n}}\]
where L is the lower bound of the confidence interval
U is the upper bound
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jimthompson5910 (jim_thompson5910):
sorry typo
\[\Large L = \hat{p} - Z*\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\]
\[\Large U = \hat{p} + Z*\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\]
ok fixed now
OpenStudy (jessicawade):
hmm lets see a=0.10 because 90% so a/2=0.05 and 1- 0.05 is 0.95 and so that on the z-chart is 1.645
jimthompson5910 (jim_thompson5910):
In this case,
\[\Large \hat{p} = 0.25\]
\[\Large Z = 1.645\]
\[\Large n = 840\]
the value Z = 1.645 is found using the normal distribution. The idea is to find the value of k such that P( -k < Z < k) = 0.90. That value of k is roughly 1.645
jimthompson5910 (jim_thompson5910):
yeah you beat me to it lol
OpenStudy (jessicawade):
lol
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OpenStudy (jessicawade):
so then i plug them into the formula?
jimthompson5910 (jim_thompson5910):
correct
OpenStudy (jessicawade):
ok 1 sec
OpenStudy (jessicawade):
confused lol
jimthompson5910 (jim_thompson5910):
where at?
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OpenStudy (jessicawade):
wouldnt it be E=Za/2 sqrt P^Q^/n
OpenStudy (jessicawade):
p-hat and q-hat
OpenStudy (jessicawade):
idk ive never seen the formula you used lol
jimthompson5910 (jim_thompson5910):
well q-hat is simply 1 - (p-hat)
jimthompson5910 (jim_thompson5910):
\[\Large \hat{q} = 1 - \hat{p}\]
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jimthompson5910 (jim_thompson5910):
so you can think of
\[\Large L = \hat{p} - Z*\sqrt{\frac{\hat{p}(1-\hat{p})}{n}}\]
as
\[\Large L = \hat{p} - Z*\sqrt{\frac{\hat{p} * \hat{q} }{n}}\]
same for the formula for the upper bound U
jimthompson5910 (jim_thompson5910):
also, the whole portion from Z to the end of the expression is the margin of error
that's why we have plus or minus that whole mess (plus or minus the margin of error)
jimthompson5910 (jim_thompson5910):
So they just said "Let E = Za/2 sqrt(P^Q^/n)"
OpenStudy (jessicawade):
ohhhhhh
jimthompson5910 (jim_thompson5910):
and I'm simplifying things. Instead of saying Za/2, I'm just saying Z
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OpenStudy (jessicawade):
i got a negative lol
jimthompson5910 (jim_thompson5910):
hmm
jimthompson5910 (jim_thompson5910):
what did you get?
OpenStudy (jessicawade):
-0.021
OpenStudy (jessicawade):
xD
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jimthompson5910 (jim_thompson5910):
for which part?
OpenStudy (jessicawade):
well i did 0.25-1.6545 for the 1st part of the L
OpenStudy (jessicawade):
because of P^-Z
jimthompson5910 (jim_thompson5910):
what did you get when you computed the square root of p*q/n
OpenStudy (jessicawade):
0.0149404
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OpenStudy (jessicawade):
because \[\sqrt{0.25}(0.75)/840\]
jimthompson5910 (jim_thompson5910):
so you'll have
0.25 - 1.645*0.0149404
for the lower bound L
jimthompson5910 (jim_thompson5910):
I think you just calculated 0.25 - 1.645 ?
OpenStudy (jessicawade):
yeah first
OpenStudy (jessicawade):
i got 0.225423042 just now for what you said
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OpenStudy (jessicawade):
so it would be 0.226? rounded
jimthompson5910 (jim_thompson5910):
0.225
OpenStudy (jessicawade):
ohhhhh
OpenStudy (jessicawade):
so that means its D?
jimthompson5910 (jim_thompson5910):
to get U, you just change the - to a +
U = 0.25 + 1.645*0.0149404
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OpenStudy (jessicawade):
ok
OpenStudy (jessicawade):
0.274
OpenStudy (jessicawade):
0.275*
jimthompson5910 (jim_thompson5910):
0.274576958 rounds to 0.275
so yes, D
OpenStudy (jessicawade):
yay!!
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OpenStudy (jessicawade):
THANKS!! :)
jimthompson5910 (jim_thompson5910):
you're welcome
OpenStudy (jessicawade):
its confusing lol
jimthompson5910 (jim_thompson5910):
yeah confidence intervals can be tricky and odd
OpenStudy (jessicawade):
thats what i was thinking earlier lol thanks again